Staff Machine Learning Engineer

October 29

Apply Now

Receive Emails with Similar Jobs

The Home Depot

WebsiteLinkedInAll Job Openings

retail • home improvement • customer service

10,000+ employees

Founded 1978

🛒 Retail

👥 B2C

💰 Debt Financing on 2007-07

Description

• Staff Machine Learning Engineer responsible for software and algorithm design. • Highly collaborative engineering process with daily pairing on user stories. • Involves designing and implementing AI/ML algorithms for software products. • Interfaces with stakeholders and teams to meet business requirements. • Engages in performance tuning, testing, and product monitoring. • May include customer outreach and designing ML educational material. • Expected to mentor junior engineers and drive ML initiatives.

Requirements

• Must be eighteen years of age or older. • Must be legally permitted to work in the United States. • 3 - 6 years of relevant work experience. • Expertise in ML development and ML ops lifecycle. • Experience working with multiple leading ML models. • Experience tracking key metrics for ML performance. • Experience with design patterns to employ AI and models. • Familiarity leveraging GenAI models. • Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization. • Experience in training machine learning models with extremely large datasets. • Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc. • Experience with GPU acceleration (i.e. CUDA and cuDNN). • Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML. • Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc. • Experience in a modern scripting language (preferably Python). • Experience in writing SQL queries against a relational database. • Experience in version control systems (preferable Git). • Experience in a Linux or Unix based environment. • Experience in a CI/CD toolchain. • Experience in REST and effective web service design. • Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security. • Experience in NoSQL databases. • Experience in cloud computing platform and associated automation patterns and machine learning services they provide. • Experience in defensive coding practices and patterns for high Availability. • Experience in A/B testing and effective REST design for scalable web services architecture.